{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AirBnB dataset preprocessing\n",
    "\n",
    "Here I include some preprocessing that is neccesary before we pass the data to the wide and deep model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(79129, 106)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>listing_url</th>\n",
       "      <th>scrape_id</th>\n",
       "      <th>last_scraped</th>\n",
       "      <th>name</th>\n",
       "      <th>summary</th>\n",
       "      <th>space</th>\n",
       "      <th>description</th>\n",
       "      <th>experiences_offered</th>\n",
       "      <th>neighborhood_overview</th>\n",
       "      <th>notes</th>\n",
       "      <th>transit</th>\n",
       "      <th>access</th>\n",
       "      <th>interaction</th>\n",
       "      <th>house_rules</th>\n",
       "      <th>thumbnail_url</th>\n",
       "      <th>medium_url</th>\n",
       "      <th>picture_url</th>\n",
       "      <th>xl_picture_url</th>\n",
       "      <th>host_id</th>\n",
       "      <th>host_url</th>\n",
       "      <th>host_name</th>\n",
       "      <th>host_since</th>\n",
       "      <th>host_location</th>\n",
       "      <th>host_about</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_response_rate</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_thumbnail_url</th>\n",
       "      <th>host_picture_url</th>\n",
       "      <th>host_neighbourhood</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_total_listings_count</th>\n",
       "      <th>host_verifications</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>street</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>market</th>\n",
       "      <th>smart_location</th>\n",
       "      <th>country_code</th>\n",
       "      <th>country</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>...</th>\n",
       "      <th>beds</th>\n",
       "      <th>bed_type</th>\n",
       "      <th>amenities</th>\n",
       "      <th>square_feet</th>\n",
       "      <th>price</th>\n",
       "      <th>weekly_price</th>\n",
       "      <th>monthly_price</th>\n",
       "      <th>security_deposit</th>\n",
       "      <th>cleaning_fee</th>\n",
       "      <th>guests_included</th>\n",
       "      <th>extra_people</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>minimum_minimum_nights</th>\n",
       "      <th>maximum_minimum_nights</th>\n",
       "      <th>minimum_maximum_nights</th>\n",
       "      <th>maximum_maximum_nights</th>\n",
       "      <th>minimum_nights_avg_ntm</th>\n",
       "      <th>maximum_nights_avg_ntm</th>\n",
       "      <th>calendar_updated</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_30</th>\n",
       "      <th>availability_60</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>availability_365</th>\n",
       "      <th>calendar_last_scraped</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_ltm</th>\n",
       "      <th>first_review</th>\n",
       "      <th>last_review</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>requires_license</th>\n",
       "      <th>license</th>\n",
       "      <th>jurisdiction_names</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>is_business_travel_ready</th>\n",
       "      <th>cancellation_policy</th>\n",
       "      <th>require_guest_profile_picture</th>\n",
       "      <th>require_guest_phone_verification</th>\n",
       "      <th>calculated_host_listings_count</th>\n",
       "      <th>calculated_host_listings_count_entire_homes</th>\n",
       "      <th>calculated_host_listings_count_private_rooms</th>\n",
       "      <th>calculated_host_listings_count_shared_rooms</th>\n",
       "      <th>reviews_per_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13913</td>\n",
       "      <td>https://www.airbnb.com/rooms/13913</td>\n",
       "      <td>20190307140352</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>Holiday London DB Room Let-on going</td>\n",
       "      <td>My bright double bedroom with a large window has a relaxed feeling! It comfortably fits one or t...</td>\n",
       "      <td>Hello Everyone, I'm offering my lovely double bedroom in Finsbury Park area (zone 2) for let in ...</td>\n",
       "      <td>My bright double bedroom with a large window has a relaxed feeling! It comfortably fits one or t...</td>\n",
       "      <td>business</td>\n",
       "      <td>Finsbury Park is a friendly melting pot community composed of Turkish, French, Spanish, Middle E...</td>\n",
       "      <td>For art lovers I can give guest my Tate Members card to which offers free access to the both the...</td>\n",
       "      <td>The flat only a 10 minute walk to Finsbury Park Station (London Zone 2) with access to the Picca...</td>\n",
       "      <td>Guest will have access to the self catering kitchen and bathroom. There is the flat is equipped ...</td>\n",
       "      <td>I like to have little chats with my guest over a cup of coffee or tea or even a drink in our loc...</td>\n",
       "      <td>I'm an artist and have my artwork up on the wall so please care.  When existing: You must lock a...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/985879/b0680c62_original.jpg?aki_policy=large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54730</td>\n",
       "      <td>https://www.airbnb.com/users/show/54730</td>\n",
       "      <td>Alina</td>\n",
       "      <td>2009-11-16</td>\n",
       "      <td>London, England, United Kingdom</td>\n",
       "      <td>I am a Multi-Media Visual Artist and Creative Practitioner in Education. I live in  London Engla...</td>\n",
       "      <td>within a day</td>\n",
       "      <td>60%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>https://a0.muscache.com/im/users/54730/profile_pic/1327774386/original.jpg?aki_policy=profile_small</td>\n",
       "      <td>https://a0.muscache.com/im/users/54730/profile_pic/1327774386/original.jpg?aki_policy=profile_x_...</td>\n",
       "      <td>LB of Islington</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>['email', 'phone', 'facebook', 'reviews']</td>\n",
       "      <td>t</td>\n",
       "      <td>f</td>\n",
       "      <td>Islington, Greater London, United Kingdom</td>\n",
       "      <td>LB of Islington</td>\n",
       "      <td>Islington</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Islington</td>\n",
       "      <td>Greater London</td>\n",
       "      <td>N4 3</td>\n",
       "      <td>London</td>\n",
       "      <td>Islington, United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>51.56802</td>\n",
       "      <td>-0.11121</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Real Bed</td>\n",
       "      <td>{TV,\"Cable TV\",Wifi,Kitchen,\"Paid parking off premises\",\"Smoking allowed\",\"Free street parking\",...</td>\n",
       "      <td>538.0</td>\n",
       "      <td>$65.00</td>\n",
       "      <td>$333.00</td>\n",
       "      <td>$1,176.00</td>\n",
       "      <td>$100.00</td>\n",
       "      <td>$15.00</td>\n",
       "      <td>1</td>\n",
       "      <td>$15.00</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3 months ago</td>\n",
       "      <td>t</td>\n",
       "      <td>30</td>\n",
       "      <td>60</td>\n",
       "      <td>89</td>\n",
       "      <td>363</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-08-18</td>\n",
       "      <td>2018-06-17</td>\n",
       "      <td>95.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15400</td>\n",
       "      <td>https://www.airbnb.com/rooms/15400</td>\n",
       "      <td>20190307140352</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>Bright Chelsea  Apartment. Chelsea!</td>\n",
       "      <td>Lots of windows and light.  St Luke's Gardens are at the end of the block, and the river not too...</td>\n",
       "      <td>Bright Chelsea Apartment  This is a bright one bedroom ground floor apartment in an interesting ...</td>\n",
       "      <td>Lots of windows and light.  St Luke's Gardens are at the end of the block, and the river not too...</td>\n",
       "      <td>romantic</td>\n",
       "      <td>It is Chelsea.</td>\n",
       "      <td>The building next door is in the process of being taken down and rebuilt. I thought that this wo...</td>\n",
       "      <td>The underground stations are South Kensington and Sloane Square. They are an equal distance from...</td>\n",
       "      <td>There are two wardrobes for guests exclusive use, and two long drawers as well as the two bedsid...</td>\n",
       "      <td>If I am in the country I like to welcome my guests and show them around. If I am overseas I make...</td>\n",
       "      <td>NO SMOKING PLEASE.. No unauthorised guests. Not safe for small children.  There are two wardrobe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/428392/462d262a_original.jpg?aki_policy=large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60302</td>\n",
       "      <td>https://www.airbnb.com/users/show/60302</td>\n",
       "      <td>Philippa</td>\n",
       "      <td>2009-12-05</td>\n",
       "      <td>Kensington, England, United Kingdom</td>\n",
       "      <td>English, grandmother,  I have travelled quite a lot.  I love being in different countries, as lo...</td>\n",
       "      <td>within a few hours</td>\n",
       "      <td>100%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>https://a0.muscache.com/im/users/60302/profile_pic/1348610590/original.jpg?aki_policy=profile_small</td>\n",
       "      <td>https://a0.muscache.com/im/users/60302/profile_pic/1348610590/original.jpg?aki_policy=profile_x_...</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['email', 'phone', 'reviews', 'jumio', 'government_id']</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>London, United Kingdom</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Kensington and Chelsea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SW3</td>\n",
       "      <td>London</td>\n",
       "      <td>London, United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>51.48796</td>\n",
       "      <td>-0.16898</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Real Bed</td>\n",
       "      <td>{TV,\"Cable TV\",Internet,Wifi,\"Air conditioning\",Kitchen,\"Buzzer/wireless intercom\",Heating,Washe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$100.00</td>\n",
       "      <td>$600.00</td>\n",
       "      <td>$2,250.00</td>\n",
       "      <td>$150.00</td>\n",
       "      <td>$50.00</td>\n",
       "      <td>2</td>\n",
       "      <td>$0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>3.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>today</td>\n",
       "      <td>t</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>104</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>81</td>\n",
       "      <td>2</td>\n",
       "      <td>2009-12-21</td>\n",
       "      <td>2018-03-30</td>\n",
       "      <td>95.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>strict_14_with_grace_period</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17402</td>\n",
       "      <td>https://www.airbnb.com/rooms/17402</td>\n",
       "      <td>20190307140352</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>Superb 3-Bed/2 Bath &amp; Wifi: Trendy W1</td>\n",
       "      <td>Open from June 2018 after a 3-year break, we are delighted to be welcoming guests again to this ...</td>\n",
       "      <td>Ready again from June 2018 for bookings after a 3-year break and a full refurb, we are excited t...</td>\n",
       "      <td>Open from June 2018 after a 3-year break, we are delighted to be welcoming guests again to this ...</td>\n",
       "      <td>none</td>\n",
       "      <td>Location, location, location! You won't find better than this! Situated in Fitzroy Street, W1, w...</td>\n",
       "      <td>This property has new flooring throughout. Guests must remove shoes at the front door otherwise ...</td>\n",
       "      <td>You can walk to tourist London or take numerous transport options close by.  Our closest tubes a...</td>\n",
       "      <td>Full use of whole independent apartment</td>\n",
       "      <td>Always available by email or phone (before, during and after your stay). We provide a welcome pa...</td>\n",
       "      <td>The apartment benefits from new flooring throughout. Guests MUST remove shoes at the front door ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/5673eb4f-a853-4102-8518-a9e8180a9cf1.jpg?aki_policy=large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67564</td>\n",
       "      <td>https://www.airbnb.com/users/show/67564</td>\n",
       "      <td>Liz</td>\n",
       "      <td>2010-01-04</td>\n",
       "      <td>London, England, United Kingdom</td>\n",
       "      <td>We are Liz and Jack.  We manage a number of holiday let properties in Fitzrovia, central London ...</td>\n",
       "      <td>within a few hours</td>\n",
       "      <td>88%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>https://a0.muscache.com/im/users/67564/profile_pic/1320663729/original.jpg?aki_policy=profile_small</td>\n",
       "      <td>https://a0.muscache.com/im/users/67564/profile_pic/1320663729/original.jpg?aki_policy=profile_x_...</td>\n",
       "      <td>Fitzrovia</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'iden...</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>London, Fitzrovia, United Kingdom</td>\n",
       "      <td>City of Westminster</td>\n",
       "      <td>Westminster</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London</td>\n",
       "      <td>Fitzrovia</td>\n",
       "      <td>W1T4BP</td>\n",
       "      <td>London</td>\n",
       "      <td>London, United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>51.52098</td>\n",
       "      <td>-0.14002</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Real Bed</td>\n",
       "      <td>{TV,Wifi,Kitchen,\"Paid parking off premises\",Elevator,\"Buzzer/wireless intercom\",Heating,\"Family...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$500.00</td>\n",
       "      <td>$1,378.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$350.00</td>\n",
       "      <td>$65.00</td>\n",
       "      <td>4</td>\n",
       "      <td>$10.00</td>\n",
       "      <td>3</td>\n",
       "      <td>365</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>3.0</td>\n",
       "      <td>365.0</td>\n",
       "      <td>4 days ago</td>\n",
       "      <td>t</td>\n",
       "      <td>29</td>\n",
       "      <td>59</td>\n",
       "      <td>89</td>\n",
       "      <td>363</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>39</td>\n",
       "      <td>14</td>\n",
       "      <td>2011-03-21</td>\n",
       "      <td>2018-10-15</td>\n",
       "      <td>93.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>strict_14_with_grace_period</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24328</td>\n",
       "      <td>https://www.airbnb.com/rooms/24328</td>\n",
       "      <td>20190307140352</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>Battersea 2 bedroom house &amp; parking</td>\n",
       "      <td>Artist house, high ceiling bedrooms, private parking and in a conservation area near Battersea P...</td>\n",
       "      <td>- End of terrace two bedroom house close to Southwest corner of Battersea Park, SW11 - Private g...</td>\n",
       "      <td>Artist house, high ceiling bedrooms, private parking and in a conservation area near Battersea P...</td>\n",
       "      <td>family</td>\n",
       "      <td>- Battersea is a quiet family area, easy access to Battersea Park and Clapham Junction/Lavender ...</td>\n",
       "      <td>- Please have a profile or tell us more about yourselves so we can have a better understanding o...</td>\n",
       "      <td>- 5 mins walk to Battersea Park, 15 mins walk to Clapham Junction, and 20 mins walk over to Chel...</td>\n",
       "      <td>- there is a communal garden in our complex - the house is near a public gym (Latchmere Leisure ...</td>\n",
       "      <td>We rent out our house only when we are away. There is self access to the house via the back entr...</td>\n",
       "      <td>A house manual will be emailed once a booking is confirmed. A printed copy will be left inside t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/428381/d92f98ab_original.jpg?aki_policy=large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41759</td>\n",
       "      <td>https://www.airbnb.com/users/show/41759</td>\n",
       "      <td>Joe</td>\n",
       "      <td>2009-09-28</td>\n",
       "      <td>Florence, Tuscany, Italy</td>\n",
       "      <td>I've been using Airbnb for a while now, both as a user and as a host. My partner and I find hote...</td>\n",
       "      <td>within a day</td>\n",
       "      <td>100%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>https://a0.muscache.com/im/users/41759/profile_pic/1368165960/original.jpg?aki_policy=profile_small</td>\n",
       "      <td>https://a0.muscache.com/im/users/41759/profile_pic/1368165960/original.jpg?aki_policy=profile_x_...</td>\n",
       "      <td>Battersea</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id', 'work_email']</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>London, United Kingdom</td>\n",
       "      <td>LB of Wandsworth</td>\n",
       "      <td>Wandsworth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SW11 5GX</td>\n",
       "      <td>London</td>\n",
       "      <td>London, United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>51.47298</td>\n",
       "      <td>-0.16376</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Real Bed</td>\n",
       "      <td>{TV,\"Cable TV\",Internet,Wifi,Kitchen,\"Free parking on premises\",\"Pets allowed\",\"Pets live on thi...</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>$175.00</td>\n",
       "      <td>$1,050.00</td>\n",
       "      <td>$3,500.00</td>\n",
       "      <td>$250.00</td>\n",
       "      <td>$70.00</td>\n",
       "      <td>2</td>\n",
       "      <td>$0.00</td>\n",
       "      <td>30</td>\n",
       "      <td>1125</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>1125</td>\n",
       "      <td>1125</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1125.0</td>\n",
       "      <td>3 days ago</td>\n",
       "      <td>t</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>50</td>\n",
       "      <td>325</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>92</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-11-15</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>98.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25023</td>\n",
       "      <td>https://www.airbnb.com/rooms/25023</td>\n",
       "      <td>20190307140352</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>All-comforts 2-bed flat near Wimbledon tennis</td>\n",
       "      <td>Large, all comforts, 2-bed flat; first floor; lift; pretty communal gardens + off-street parking...</td>\n",
       "      <td>10 mins walk to Southfields tube and Wimbledon tennis, the flat is located in a private building...</td>\n",
       "      <td>Large, all comforts, 2-bed flat; first floor; lift; pretty communal gardens + off-street parking...</td>\n",
       "      <td>none</td>\n",
       "      <td>This is a leafy residential area with excellent transport connections. Shops and other local  am...</td>\n",
       "      <td>Non-smokers only. No pets.</td>\n",
       "      <td>Free off-street parking; buses to Richmond/Tooting and Putney/Clampham Junction via Wimbledon La...</td>\n",
       "      <td>Entire flat; use of communal gardens.</td>\n",
       "      <td>I'm happy to provide you with any helpful hints on the local area and getting around.</td>\n",
       "      <td>No smoking. No parties. No loud music after 10 pm. Please dispose of all rubbish and leave the k...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/d693d930-06a8-49ec-98c2-2d4646ab3224.jpg?aki_policy=large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102813</td>\n",
       "      <td>https://www.airbnb.com/users/show/102813</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>2010-04-03</td>\n",
       "      <td>Rome, Lazio, Italy</td>\n",
       "      <td>Hi, I'm a sociologist/anthropologist, NLP executive coach and self-confessed language-junkie wit...</td>\n",
       "      <td>within an hour</td>\n",
       "      <td>100%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/user/2e886fec-a40a-4a03-9ded-1e5a042682bb.jpg?aki_policy=pro...</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/user/2e886fec-a40a-4a03-9ded-1e5a042682bb.jpg?aki_policy=pro...</td>\n",
       "      <td>Wimbledon</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['email', 'phone', 'reviews']</td>\n",
       "      <td>t</td>\n",
       "      <td>f</td>\n",
       "      <td>Wimbledon, London, United Kingdom</td>\n",
       "      <td>Wimbledon</td>\n",
       "      <td>Wandsworth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wimbledon</td>\n",
       "      <td>London</td>\n",
       "      <td>SW19 6QH</td>\n",
       "      <td>London</td>\n",
       "      <td>Wimbledon, United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>51.44687</td>\n",
       "      <td>-0.21874</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Real Bed</td>\n",
       "      <td>{TV,Wifi,Kitchen,\"Free parking on premises\",Elevator,\"Buzzer/wireless intercom\",Heating,Washer,\"...</td>\n",
       "      <td>700.0</td>\n",
       "      <td>$65.00</td>\n",
       "      <td>$630.00</td>\n",
       "      <td>$2,515.00</td>\n",
       "      <td>$250.00</td>\n",
       "      <td>$50.00</td>\n",
       "      <td>2</td>\n",
       "      <td>$11.00</td>\n",
       "      <td>4</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>3 days ago</td>\n",
       "      <td>t</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>2016-03-05</td>\n",
       "      <td>2018-07-11</td>\n",
       "      <td>91.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 106 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id                         listing_url       scrape_id last_scraped  \\\n",
       "0  13913  https://www.airbnb.com/rooms/13913  20190307140352   2019-03-08   \n",
       "1  15400  https://www.airbnb.com/rooms/15400  20190307140352   2019-03-08   \n",
       "2  17402  https://www.airbnb.com/rooms/17402  20190307140352   2019-03-08   \n",
       "3  24328  https://www.airbnb.com/rooms/24328  20190307140352   2019-03-08   \n",
       "4  25023  https://www.airbnb.com/rooms/25023  20190307140352   2019-03-08   \n",
       "\n",
       "                                            name  \\\n",
       "0            Holiday London DB Room Let-on going   \n",
       "1            Bright Chelsea  Apartment. Chelsea!   \n",
       "2          Superb 3-Bed/2 Bath & Wifi: Trendy W1   \n",
       "3            Battersea 2 bedroom house & parking   \n",
       "4  All-comforts 2-bed flat near Wimbledon tennis   \n",
       "\n",
       "                                                                                               summary  \\\n",
       "0  My bright double bedroom with a large window has a relaxed feeling! It comfortably fits one or t...   \n",
       "1  Lots of windows and light.  St Luke's Gardens are at the end of the block, and the river not too...   \n",
       "2  Open from June 2018 after a 3-year break, we are delighted to be welcoming guests again to this ...   \n",
       "3  Artist house, high ceiling bedrooms, private parking and in a conservation area near Battersea P...   \n",
       "4  Large, all comforts, 2-bed flat; first floor; lift; pretty communal gardens + off-street parking...   \n",
       "\n",
       "                                                                                                 space  \\\n",
       "0  Hello Everyone, I'm offering my lovely double bedroom in Finsbury Park area (zone 2) for let in ...   \n",
       "1  Bright Chelsea Apartment  This is a bright one bedroom ground floor apartment in an interesting ...   \n",
       "2  Ready again from June 2018 for bookings after a 3-year break and a full refurb, we are excited t...   \n",
       "3  - End of terrace two bedroom house close to Southwest corner of Battersea Park, SW11 - Private g...   \n",
       "4  10 mins walk to Southfields tube and Wimbledon tennis, the flat is located in a private building...   \n",
       "\n",
       "                                                                                           description  \\\n",
       "0  My bright double bedroom with a large window has a relaxed feeling! It comfortably fits one or t...   \n",
       "1  Lots of windows and light.  St Luke's Gardens are at the end of the block, and the river not too...   \n",
       "2  Open from June 2018 after a 3-year break, we are delighted to be welcoming guests again to this ...   \n",
       "3  Artist house, high ceiling bedrooms, private parking and in a conservation area near Battersea P...   \n",
       "4  Large, all comforts, 2-bed flat; first floor; lift; pretty communal gardens + off-street parking...   \n",
       "\n",
       "  experiences_offered  \\\n",
       "0            business   \n",
       "1            romantic   \n",
       "2                none   \n",
       "3              family   \n",
       "4                none   \n",
       "\n",
       "                                                                                 neighborhood_overview  \\\n",
       "0  Finsbury Park is a friendly melting pot community composed of Turkish, French, Spanish, Middle E...   \n",
       "1                                                                                       It is Chelsea.   \n",
       "2  Location, location, location! You won't find better than this! Situated in Fitzroy Street, W1, w...   \n",
       "3  - Battersea is a quiet family area, easy access to Battersea Park and Clapham Junction/Lavender ...   \n",
       "4  This is a leafy residential area with excellent transport connections. Shops and other local  am...   \n",
       "\n",
       "                                                                                                 notes  \\\n",
       "0  For art lovers I can give guest my Tate Members card to which offers free access to the both the...   \n",
       "1  The building next door is in the process of being taken down and rebuilt. I thought that this wo...   \n",
       "2  This property has new flooring throughout. Guests must remove shoes at the front door otherwise ...   \n",
       "3  - Please have a profile or tell us more about yourselves so we can have a better understanding o...   \n",
       "4                                                                           Non-smokers only. No pets.   \n",
       "\n",
       "                                                                                               transit  \\\n",
       "0  The flat only a 10 minute walk to Finsbury Park Station (London Zone 2) with access to the Picca...   \n",
       "1  The underground stations are South Kensington and Sloane Square. They are an equal distance from...   \n",
       "2  You can walk to tourist London or take numerous transport options close by.  Our closest tubes a...   \n",
       "3  - 5 mins walk to Battersea Park, 15 mins walk to Clapham Junction, and 20 mins walk over to Chel...   \n",
       "4  Free off-street parking; buses to Richmond/Tooting and Putney/Clampham Junction via Wimbledon La...   \n",
       "\n",
       "                                                                                                access  \\\n",
       "0  Guest will have access to the self catering kitchen and bathroom. There is the flat is equipped ...   \n",
       "1  There are two wardrobes for guests exclusive use, and two long drawers as well as the two bedsid...   \n",
       "2                                                              Full use of whole independent apartment   \n",
       "3  - there is a communal garden in our complex - the house is near a public gym (Latchmere Leisure ...   \n",
       "4                                                                Entire flat; use of communal gardens.   \n",
       "\n",
       "                                                                                           interaction  \\\n",
       "0  I like to have little chats with my guest over a cup of coffee or tea or even a drink in our loc...   \n",
       "1  If I am in the country I like to welcome my guests and show them around. If I am overseas I make...   \n",
       "2  Always available by email or phone (before, during and after your stay). We provide a welcome pa...   \n",
       "3  We rent out our house only when we are away. There is self access to the house via the back entr...   \n",
       "4                I'm happy to provide you with any helpful hints on the local area and getting around.   \n",
       "\n",
       "                                                                                           house_rules  \\\n",
       "0  I'm an artist and have my artwork up on the wall so please care.  When existing: You must lock a...   \n",
       "1  NO SMOKING PLEASE.. No unauthorised guests. Not safe for small children.  There are two wardrobe...   \n",
       "2  The apartment benefits from new flooring throughout. Guests MUST remove shoes at the front door ...   \n",
       "3  A house manual will be emailed once a booking is confirmed. A printed copy will be left inside t...   \n",
       "4  No smoking. No parties. No loud music after 10 pm. Please dispose of all rubbish and leave the k...   \n",
       "\n",
       "   thumbnail_url  medium_url  \\\n",
       "0            NaN         NaN   \n",
       "1            NaN         NaN   \n",
       "2            NaN         NaN   \n",
       "3            NaN         NaN   \n",
       "4            NaN         NaN   \n",
       "\n",
       "                                                                                     picture_url  \\\n",
       "0              https://a0.muscache.com/im/pictures/985879/b0680c62_original.jpg?aki_policy=large   \n",
       "1              https://a0.muscache.com/im/pictures/428392/462d262a_original.jpg?aki_policy=large   \n",
       "2  https://a0.muscache.com/im/pictures/5673eb4f-a853-4102-8518-a9e8180a9cf1.jpg?aki_policy=large   \n",
       "3              https://a0.muscache.com/im/pictures/428381/d92f98ab_original.jpg?aki_policy=large   \n",
       "4  https://a0.muscache.com/im/pictures/d693d930-06a8-49ec-98c2-2d4646ab3224.jpg?aki_policy=large   \n",
       "\n",
       "   xl_picture_url  host_id                                  host_url  \\\n",
       "0             NaN    54730   https://www.airbnb.com/users/show/54730   \n",
       "1             NaN    60302   https://www.airbnb.com/users/show/60302   \n",
       "2             NaN    67564   https://www.airbnb.com/users/show/67564   \n",
       "3             NaN    41759   https://www.airbnb.com/users/show/41759   \n",
       "4             NaN   102813  https://www.airbnb.com/users/show/102813   \n",
       "\n",
       "  host_name  host_since                        host_location  \\\n",
       "0     Alina  2009-11-16      London, England, United Kingdom   \n",
       "1  Philippa  2009-12-05  Kensington, England, United Kingdom   \n",
       "2       Liz  2010-01-04      London, England, United Kingdom   \n",
       "3       Joe  2009-09-28             Florence, Tuscany, Italy   \n",
       "4    Amanda  2010-04-03                   Rome, Lazio, Italy   \n",
       "\n",
       "                                                                                            host_about  \\\n",
       "0  I am a Multi-Media Visual Artist and Creative Practitioner in Education. I live in  London Engla...   \n",
       "1  English, grandmother,  I have travelled quite a lot.  I love being in different countries, as lo...   \n",
       "2  We are Liz and Jack.  We manage a number of holiday let properties in Fitzrovia, central London ...   \n",
       "3  I've been using Airbnb for a while now, both as a user and as a host. My partner and I find hote...   \n",
       "4  Hi, I'm a sociologist/anthropologist, NLP executive coach and self-confessed language-junkie wit...   \n",
       "\n",
       "   host_response_time host_response_rate  host_acceptance_rate  \\\n",
       "0        within a day                60%                   NaN   \n",
       "1  within a few hours               100%                   NaN   \n",
       "2  within a few hours                88%                   NaN   \n",
       "3        within a day               100%                   NaN   \n",
       "4      within an hour               100%                   NaN   \n",
       "\n",
       "  host_is_superhost  \\\n",
       "0                 f   \n",
       "1                 f   \n",
       "2                 t   \n",
       "3                 t   \n",
       "4                 t   \n",
       "\n",
       "                                                                                    host_thumbnail_url  \\\n",
       "0  https://a0.muscache.com/im/users/54730/profile_pic/1327774386/original.jpg?aki_policy=profile_small   \n",
       "1  https://a0.muscache.com/im/users/60302/profile_pic/1348610590/original.jpg?aki_policy=profile_small   \n",
       "2  https://a0.muscache.com/im/users/67564/profile_pic/1320663729/original.jpg?aki_policy=profile_small   \n",
       "3  https://a0.muscache.com/im/users/41759/profile_pic/1368165960/original.jpg?aki_policy=profile_small   \n",
       "4  https://a0.muscache.com/im/pictures/user/2e886fec-a40a-4a03-9ded-1e5a042682bb.jpg?aki_policy=pro...   \n",
       "\n",
       "                                                                                      host_picture_url  \\\n",
       "0  https://a0.muscache.com/im/users/54730/profile_pic/1327774386/original.jpg?aki_policy=profile_x_...   \n",
       "1  https://a0.muscache.com/im/users/60302/profile_pic/1348610590/original.jpg?aki_policy=profile_x_...   \n",
       "2  https://a0.muscache.com/im/users/67564/profile_pic/1320663729/original.jpg?aki_policy=profile_x_...   \n",
       "3  https://a0.muscache.com/im/users/41759/profile_pic/1368165960/original.jpg?aki_policy=profile_x_...   \n",
       "4  https://a0.muscache.com/im/pictures/user/2e886fec-a40a-4a03-9ded-1e5a042682bb.jpg?aki_policy=pro...   \n",
       "\n",
       "  host_neighbourhood  host_listings_count  host_total_listings_count  \\\n",
       "0    LB of Islington                  4.0                        4.0   \n",
       "1            Chelsea                  1.0                        1.0   \n",
       "2          Fitzrovia                 16.0                       16.0   \n",
       "3          Battersea                  3.0                        3.0   \n",
       "4          Wimbledon                  1.0                        1.0   \n",
       "\n",
       "                                                                                    host_verifications  \\\n",
       "0                                                            ['email', 'phone', 'facebook', 'reviews']   \n",
       "1                                              ['email', 'phone', 'reviews', 'jumio', 'government_id']   \n",
       "2  ['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'iden...   \n",
       "3       ['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id', 'work_email']   \n",
       "4                                                                        ['email', 'phone', 'reviews']   \n",
       "\n",
       "  host_has_profile_pic host_identity_verified  \\\n",
       "0                    t                      f   \n",
       "1                    t                      t   \n",
       "2                    t                      t   \n",
       "3                    t                      t   \n",
       "4                    t                      f   \n",
       "\n",
       "                                      street        neighbourhood  \\\n",
       "0  Islington, Greater London, United Kingdom      LB of Islington   \n",
       "1                     London, United Kingdom              Chelsea   \n",
       "2          London, Fitzrovia, United Kingdom  City of Westminster   \n",
       "3                     London, United Kingdom     LB of Wandsworth   \n",
       "4          Wimbledon, London, United Kingdom            Wimbledon   \n",
       "\n",
       "   neighbourhood_cleansed  neighbourhood_group_cleansed       city  \\\n",
       "0               Islington                           NaN  Islington   \n",
       "1  Kensington and Chelsea                           NaN     London   \n",
       "2             Westminster                           NaN     London   \n",
       "3              Wandsworth                           NaN     London   \n",
       "4              Wandsworth                           NaN  Wimbledon   \n",
       "\n",
       "            state   zipcode  market             smart_location country_code  \\\n",
       "0  Greater London      N4 3  London  Islington, United Kingdom           GB   \n",
       "1             NaN       SW3  London     London, United Kingdom           GB   \n",
       "2       Fitzrovia    W1T4BP  London     London, United Kingdom           GB   \n",
       "3             NaN  SW11 5GX  London     London, United Kingdom           GB   \n",
       "4          London  SW19 6QH  London  Wimbledon, United Kingdom           GB   \n",
       "\n",
       "          country  latitude  longitude  ... beds  bed_type  \\\n",
       "0  United Kingdom  51.56802   -0.11121  ...  0.0  Real Bed   \n",
       "1  United Kingdom  51.48796   -0.16898  ...  1.0  Real Bed   \n",
       "2  United Kingdom  51.52098   -0.14002  ...  3.0  Real Bed   \n",
       "3  United Kingdom  51.47298   -0.16376  ...  3.0  Real Bed   \n",
       "4  United Kingdom  51.44687   -0.21874  ...  2.0  Real Bed   \n",
       "\n",
       "                                                                                             amenities  \\\n",
       "0  {TV,\"Cable TV\",Wifi,Kitchen,\"Paid parking off premises\",\"Smoking allowed\",\"Free street parking\",...   \n",
       "1  {TV,\"Cable TV\",Internet,Wifi,\"Air conditioning\",Kitchen,\"Buzzer/wireless intercom\",Heating,Washe...   \n",
       "2  {TV,Wifi,Kitchen,\"Paid parking off premises\",Elevator,\"Buzzer/wireless intercom\",Heating,\"Family...   \n",
       "3  {TV,\"Cable TV\",Internet,Wifi,Kitchen,\"Free parking on premises\",\"Pets allowed\",\"Pets live on thi...   \n",
       "4  {TV,Wifi,Kitchen,\"Free parking on premises\",Elevator,\"Buzzer/wireless intercom\",Heating,Washer,\"...   \n",
       "\n",
       "   square_feet    price  weekly_price  monthly_price security_deposit  \\\n",
       "0        538.0   $65.00       $333.00      $1,176.00          $100.00   \n",
       "1          NaN  $100.00       $600.00      $2,250.00          $150.00   \n",
       "2          NaN  $500.00     $1,378.00            NaN          $350.00   \n",
       "3       1001.0  $175.00     $1,050.00      $3,500.00          $250.00   \n",
       "4        700.0   $65.00       $630.00      $2,515.00          $250.00   \n",
       "\n",
       "  cleaning_fee  guests_included extra_people minimum_nights maximum_nights  \\\n",
       "0       $15.00                1       $15.00              1             29   \n",
       "1       $50.00                2        $0.00              3             50   \n",
       "2       $65.00                4       $10.00              3            365   \n",
       "3       $70.00                2        $0.00             30           1125   \n",
       "4       $50.00                2       $11.00              4            100   \n",
       "\n",
       "  minimum_minimum_nights maximum_minimum_nights  minimum_maximum_nights  \\\n",
       "0                      1                      1                      29   \n",
       "1                      3                      3                      50   \n",
       "2                      3                      3                     365   \n",
       "3                     30                     30                    1125   \n",
       "4                      4                      4                     100   \n",
       "\n",
       "  maximum_maximum_nights  minimum_nights_avg_ntm  maximum_nights_avg_ntm  \\\n",
       "0                     29                     1.0                    29.0   \n",
       "1                     50                     3.0                    50.0   \n",
       "2                    365                     3.0                   365.0   \n",
       "3                   1125                    30.0                  1125.0   \n",
       "4                    100                     4.0                   100.0   \n",
       "\n",
       "   calendar_updated  has_availability  availability_30  availability_60  \\\n",
       "0      3 months ago                 t               30               60   \n",
       "1             today                 t                0                8   \n",
       "2        4 days ago                 t               29               59   \n",
       "3        3 days ago                 t                0               20   \n",
       "4        3 days ago                 t                1                1   \n",
       "\n",
       "   availability_90  availability_365 calendar_last_scraped number_of_reviews  \\\n",
       "0               89               363            2019-03-08                14   \n",
       "1                8               104            2019-03-08                81   \n",
       "2               89               363            2019-03-08                39   \n",
       "3               50               325            2019-03-08                92   \n",
       "4                1                16            2019-03-08                26   \n",
       "\n",
       "   number_of_reviews_ltm  first_review  last_review  review_scores_rating  \\\n",
       "0                      3    2010-08-18   2018-06-17                  95.0   \n",
       "1                      2    2009-12-21   2018-03-30                  95.0   \n",
       "2                     14    2011-03-21   2018-10-15                  93.0   \n",
       "3                      0    2010-11-15   2016-09-07                  98.0   \n",
       "4                      6    2016-03-05   2018-07-11                  91.0   \n",
       "\n",
       "  review_scores_accuracy  review_scores_cleanliness  review_scores_checkin  \\\n",
       "0                    9.0                       10.0                    9.0   \n",
       "1                   10.0                       10.0                   10.0   \n",
       "2                   10.0                        9.0                    9.0   \n",
       "3                   10.0                       10.0                   10.0   \n",
       "4                   10.0                        9.0                    9.0   \n",
       "\n",
       "  review_scores_communication review_scores_location  review_scores_value  \\\n",
       "0                        10.0                    9.0                  9.0   \n",
       "1                        10.0                   10.0                  9.0   \n",
       "2                         9.0                   10.0                  9.0   \n",
       "3                        10.0                    9.0                  9.0   \n",
       "4                         9.0                    9.0                  9.0   \n",
       "\n",
       "   requires_license  license  jurisdiction_names  instant_bookable  \\\n",
       "0                 f      NaN                 NaN                 f   \n",
       "1                 f      NaN                 NaN                 f   \n",
       "2                 f      NaN                 NaN                 f   \n",
       "3                 f      NaN                 NaN                 f   \n",
       "4                 f      NaN                 NaN                 f   \n",
       "\n",
       "   is_business_travel_ready          cancellation_policy  \\\n",
       "0                         f                     moderate   \n",
       "1                         f  strict_14_with_grace_period   \n",
       "2                         f  strict_14_with_grace_period   \n",
       "3                         f                     moderate   \n",
       "4                         f                     moderate   \n",
       "\n",
       "  require_guest_profile_picture require_guest_phone_verification  \\\n",
       "0                             f                                f   \n",
       "1                             t                                t   \n",
       "2                             f                                f   \n",
       "3                             t                                t   \n",
       "4                             f                                f   \n",
       "\n",
       "   calculated_host_listings_count calculated_host_listings_count_entire_homes  \\\n",
       "0                               3                                           1   \n",
       "1                               1                                           1   \n",
       "2                              13                                          13   \n",
       "3                               1                                           1   \n",
       "4                               1                                           1   \n",
       "\n",
       "  calculated_host_listings_count_private_rooms  \\\n",
       "0                                            2   \n",
       "1                                            0   \n",
       "2                                            0   \n",
       "3                                            0   \n",
       "4                                            0   \n",
       "\n",
       "  calculated_host_listings_count_shared_rooms reviews_per_month  \n",
       "0                                           0              0.13  \n",
       "1                                           0              0.72  \n",
       "2                                           0              0.40  \n",
       "3                                           0              0.91  \n",
       "4                                           0              0.71  \n",
       "\n",
       "[5 rows x 106 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "\n",
    "from pathlib import Path\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "DATA_PATH = Path('data/airbnb')\n",
    "df_original = pd.read_csv(DATA_PATH/'listings.csv')\n",
    "print(df_original.shape)\n",
    "df_original.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our goal will be to predict the so called \"yield\" value of the property, a meassure of how profitable the property might be. To that aim, we should only keep features that are known by at the time that an owner registers the property at Airbnb plus, of course, those required to estimate \"yield\" (price and number of reviews per month). For example, review scores should not be included while description or house rules can perfectly be part of our dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "keep_cols = ['id', 'host_id', 'description', 'house_rules', 'host_name',\n",
    "    'host_listings_count', 'host_identity_verified', 'neighbourhood_cleansed',\n",
    "    'latitude', 'longitude','is_location_exact','property_type', 'room_type',\n",
    "    'accommodates', 'bathrooms', 'bedrooms','beds', 'amenities', 'price',\n",
    "    'security_deposit', 'cleaning_fee','guests_included', 'extra_people', \n",
    "    'minimum_nights','instant_bookable','cancellation_policy', \n",
    "    'reviews_per_month']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(58567, 27)\n"
     ]
    }
   ],
   "source": [
    "df = df_original[keep_cols]\n",
    "df = df[~df.reviews_per_month.isna()]\n",
    "df = df[~df.description.isna() ]\n",
    "df = df[~df.host_listings_count.isna()]\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## House rules\n",
    "\n",
    "I will simply include a binary column with 1/0 if the property has/has not house rules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['has_house_rules'] = df['house_rules']\n",
    "df.has_house_rules.fillna(0, inplace=True)\n",
    "df['has_house_rules'][df.has_house_rules!=0] = 1\n",
    "df.drop('house_rules', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Host name\n",
    "\n",
    "I will use names to infer gender using `gender_guesser`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'female': 23998, 'male': 21008, 'unknown': 13561})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gender_guesser.detector as gender\n",
    "from collections import Counter\n",
    "\n",
    "host_name = df.host_name.tolist()\n",
    "d = gender.Detector()\n",
    "host_gender = [d.get_gender(n) for n in host_name]\n",
    "replace_dict = {'mostly_male': 'male', 'mostly_female': 'female', 'andy': 'unknown'}\n",
    "host_gender = [replace_dict.get(item,item) for item in host_gender]\n",
    "Counter(host_gender)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['host_gender'] = host_gender\n",
    "df.drop('host_name', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Property type, room type, accommodates, bathrooms, bedrooms, beds and guests included, host listings count, minimum nights\n",
    "\n",
    "Here some standard pre-processing..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.property_type.value_counts()\n",
    "replace_prop_type = [val for val in df.property_type.unique().tolist() if val not in ['Apartment', 'House']]\n",
    "replace_prop_type = {k:'other' for k in replace_prop_type}\n",
    "df.property_type.replace(replace_prop_type, inplace=True)\n",
    "df['property_type'] = df.property_type.apply(lambda x: '_'.join(x.split(' ')).lower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.room_type.value_counts()\n",
    "df['room_type'] = df.room_type.apply(lambda x: '_'.join(x.split(' ')).lower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['bathrooms'][(df.bathrooms.isna()) & (df.room_type == 'private_room')] = 0\n",
    "df['bathrooms'][(df.bathrooms.isna()) & (df.room_type == 'entire_home/apt')] = 1\n",
    "df.bedrooms.fillna(1, inplace=True)\n",
    "df.beds.fillna(1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Encode some as categorical\n",
    "categorical_cut = [('accommodates', 3),\n",
    "    ('guests_included', 3),\n",
    "    ('minimum_nights', 3),\n",
    "    ('host_listings_count', 3),\n",
    "    ('bathrooms', 1.5),\n",
    "    ('bedrooms', 3),\n",
    "    ('beds', 3)\n",
    "    ]\n",
    "\n",
    "for col, cut in categorical_cut:\n",
    "    new_colname = col + '_catg'\n",
    "    df[new_colname] = df[col].apply(lambda x: cut if x >=cut else x)\n",
    "    df[new_colname] = df[new_colname].round().astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Amenities\n",
    "\n",
    "I will just add a number of dummy columns with 1/0 if the property has/has not that particular amenity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'tv': 41218,\n",
       "         'cable_tv': 10578,\n",
       "         'wifi': 56843,\n",
       "         'kitchen': 53991,\n",
       "         'paid_parking_off_premises': 10706,\n",
       "         'smoking_allowed': 4194,\n",
       "         'free_street_parking': 5904,\n",
       "         'buzzer_wireless_intercom': 9114,\n",
       "         'heating': 55891,\n",
       "         'family_kid_friendly': 22489,\n",
       "         'washer': 50509,\n",
       "         'dryer': 26663,\n",
       "         'smoke_detector': 51264,\n",
       "         'carbon_monoxide_detector': 34426,\n",
       "         'fire_extinguisher': 18943,\n",
       "         'essentials': 55732,\n",
       "         'shampoo': 41965,\n",
       "         'lock_on_bedroom_door': 13230,\n",
       "         'hangers': 47943,\n",
       "         'hair_dryer': 43255,\n",
       "         'iron': 45991,\n",
       "         'laptop_friendly_workspace': 39002,\n",
       "         'outlet_covers': 265,\n",
       "         'bathtub': 5267,\n",
       "         'children’s_books_and_toys': 2873,\n",
       "         'babysitter_recommendations': 1225,\n",
       "         'crib': 2726,\n",
       "         'pack_’n_play_travel_crib': 2728,\n",
       "         'room-darkening_shades': 2087,\n",
       "         'children’s_dinnerware': 1334,\n",
       "         'hot_water': 33506,\n",
       "         'bed_linens': 20330,\n",
       "         'extra_pillows_and_blankets': 10262,\n",
       "         'ethernet_connection': 2365,\n",
       "         'coffee_maker': 10148,\n",
       "         'refrigerator': 20734,\n",
       "         'dishes_and_silverware': 18665,\n",
       "         'cooking_basics': 17924,\n",
       "         'oven': 19146,\n",
       "         'stove': 16888,\n",
       "         'patio_or_balcony': 6675,\n",
       "         'luggage_dropoff_allowed': 10276,\n",
       "         'long_term_stays_allowed': 14530,\n",
       "         'step-free_access': 11558,\n",
       "         'wide_doorway': 4988,\n",
       "         'wide_clearance_to_bed': 1891,\n",
       "         'accessible-height_bed': 1554,\n",
       "         'bathtub_with_bath_chair': 86,\n",
       "         'accessible-height_toilet': 1142,\n",
       "         'host_greets_you': 15103,\n",
       "         'handheld_shower_head': 1881,\n",
       "         'roll-in_shower': 272,\n",
       "         'internet': 17595,\n",
       "         'air_conditioning': 2941,\n",
       "         '24-hour_check-in': 5356,\n",
       "         'translation_missing:_en.hosting_amenity_49': 7465,\n",
       "         'translation_missing:_en.hosting_amenity_50': 9761,\n",
       "         'other': 4539,\n",
       "         'elevator': 13661,\n",
       "         'microwave': 17318,\n",
       "         'dishwasher': 11939,\n",
       "         'free_parking_on_premises': 10342,\n",
       "         'pets_allowed': 4683,\n",
       "         'pets_live_on_this_property': 2870,\n",
       "         'indoor_fireplace': 4841,\n",
       "         'self_check-in': 11635,\n",
       "         'lockbox': 8208,\n",
       "         'high_chair': 3189,\n",
       "         'game_console': 708,\n",
       "         'breakfast': 8362,\n",
       "         'safety_card': 6899,\n",
       "         'cat': 1486,\n",
       "         'building_staff': 1715,\n",
       "         'private_entrance': 12236,\n",
       "         'garden_or_backyard': 6426,\n",
       "         'first_aid_kit': 18896,\n",
       "         'private_living_room': 6297,\n",
       "         'bbq_grill': 1802,\n",
       "         'cleaning_before_checkout': 1303,\n",
       "         'paid_parking_on_premises': 3241,\n",
       "         'wheelchair_accessible': 2080,\n",
       "         'body_soap': 491,\n",
       "         'bath_towel': 491,\n",
       "         'toilet_paper': 491,\n",
       "         'bedroom_comforts': 494,\n",
       "         'bathroom_essentials': 494,\n",
       "         'gym': 1677,\n",
       "         'other_pet': 98,\n",
       "         'single_level_home': 3465,\n",
       "         'hot_tub': 2289,\n",
       "         'pool': 369,\n",
       "         'doorman': 1134,\n",
       "         'suitable_for_events': 1052,\n",
       "         'dog': 805,\n",
       "         'wide_entryway': 1458,\n",
       "         'hot_water_kettle': 336,\n",
       "         'breakfast_table': 141,\n",
       "         'full_kitchen': 837,\n",
       "         'smart_lock': 598,\n",
       "         'wide_hallway_clearance': 2367,\n",
       "         'flat_path_to_front_door': 2442,\n",
       "         'well-lit_path_to_entrance': 3723,\n",
       "         'window_guards': 540,\n",
       "         'disabled_parking_spot': 580,\n",
       "         'fireplace_guards': 251,\n",
       "         'changing_table': 527,\n",
       "         'waterfront': 529,\n",
       "         'keypad': 1126,\n",
       "         'firm_mattress': 32,\n",
       "         'fixed_grab_bars_for_shower': 178,\n",
       "         'stair_gates': 426,\n",
       "         'washer_dryer': 4,\n",
       "         'pocket_wifi': 666,\n",
       "         'wide_clearance_to_shower': 721,\n",
       "         '_toilet': 721,\n",
       "         'espresso_machine': 179,\n",
       "         'ev_charger': 342,\n",
       "         'baby_bath': 590,\n",
       "         'lake_access': 188,\n",
       "         'heated_floors': 119,\n",
       "         'smart_tv': 209,\n",
       "         'dvd_player': 80,\n",
       "         'heated_towel_rack': 220,\n",
       "         'balcony': 90,\n",
       "         'sound_system': 132,\n",
       "         'netflix': 158,\n",
       "         'amazon_echo': 44,\n",
       "         'baby_monitor': 274,\n",
       "         'fixed_grab_bars_for_toilet': 71,\n",
       "         'shower_chair': 68,\n",
       "         'private_bathroom': 34,\n",
       "         'ground_floor_access': 12,\n",
       "         'air_purifier': 6,\n",
       "         'table_corner_guards': 99,\n",
       "         '': 111,\n",
       "         'beach_essentials': 81,\n",
       "         'day_bed': 44,\n",
       "         'terrace': 92,\n",
       "         'sun_loungers': 19,\n",
       "         'convection_oven': 107,\n",
       "         'soaking_tub': 68,\n",
       "         'fire_pit': 8,\n",
       "         'memory_foam_mattress': 76,\n",
       "         'wine_cooler': 39,\n",
       "         'outdoor_seating': 75,\n",
       "         'kitchenette': 58,\n",
       "         'double_oven': 79,\n",
       "         'murphy_bed': 22,\n",
       "         'heat_lamps': 5,\n",
       "         'walk-in_shower': 143,\n",
       "         'gas_oven': 53,\n",
       "         'tennis_court': 2,\n",
       "         'formal_dining_area': 62,\n",
       "         'en_suite_bathroom': 160,\n",
       "         'rain_shower': 103,\n",
       "         'printer': 45,\n",
       "         'exercise_equipment': 18,\n",
       "         'bidet': 9,\n",
       "         'mini_fridge': 45,\n",
       "         'electric_profiling_bed': 17,\n",
       "         'pillow-top_mattress': 50,\n",
       "         'high-resolution_computer_monitor': 11,\n",
       "         'beachfront': 19,\n",
       "         'beach_view': 3,\n",
       "         'outdoor_parking': 14,\n",
       "         'warming_drawer': 11,\n",
       "         'fax_machine': 10,\n",
       "         'standing_valet': 13,\n",
       "         'shared_gym': 7,\n",
       "         'ceiling_fan': 23,\n",
       "         'stand_alone_steam_shower': 5,\n",
       "         'private_hot_tub': 3,\n",
       "         'pool_cover': 1,\n",
       "         'alfresco_bathtub': 3,\n",
       "         'steam_oven': 9,\n",
       "         'mountain_view': 3,\n",
       "         'mudroom': 2,\n",
       "         'projector_and_screen': 5,\n",
       "         'central_air_conditioning': 2,\n",
       "         'shared_pool': 2,\n",
       "         'shared_hot_tub': 2,\n",
       "         'hammock': 2,\n",
       "         'outdoor_kitchen': 4,\n",
       "         'mobile_hoist': 8,\n",
       "         'touchless_faucets': 2,\n",
       "         'jetted_tub': 3,\n",
       "         'hbo_go': 9,\n",
       "         'private_pool': 1,\n",
       "         'ski-in_ski-out': 9,\n",
       "         'private_gym': 1,\n",
       "         'ceiling_hoist': 8,\n",
       "         'pool_with_pool_hoist': 2,\n",
       "         'sauna': 1,\n",
       "         'ironing_board': 1})"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from functools import reduce\n",
    "from itertools import chain\n",
    "\n",
    "amenity_repls = ((\"\\\"\", \"\"), (\"{\", \"\"), (\"}\", \"\"),(\" / \", \"_\"), (\"/\", \"_\"), (\" \", \"_\"), (\"(s)\", \"\"))\n",
    "\n",
    "amenities_raw = df.amenities.str.lower().tolist()\n",
    "amenities = [reduce(lambda a, kv: a.replace(*kv), amenity_repls, s).split(\",\") for s in amenities_raw]\n",
    "\n",
    "all_amenities = list(chain(*amenities))\n",
    "all_amenities_count = Counter(all_amenities)\n",
    "all_amenities_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# having a look to the list we see that one amenity is empty and two are\n",
    "# \"translation missing:...\"\n",
    "keep_amenities = []\n",
    "for k,v in all_amenities_count.items():\n",
    "    if k and 'missing' not in k:\n",
    "        keep_amenities.append(k)\n",
    "\n",
    "final_amenities = [[amenity for amenity in house_amenities if amenity in keep_amenities]\n",
    "    for house_amenities in amenities]\n",
    "\n",
    "# some properties have no amenities aparently\n",
    "final_amenities = [['no amenities'] if not amenity else amenity for amenity in final_amenities]\n",
    "final_amenities = [['amenity_'+ amenity for amenity in amenities] for amenities in final_amenities]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>groups</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[amenity_tv, amenity_cable_tv, amenity_wifi, amenity_kitchen, amenity_paid_parking_off_premises,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[amenity_tv, amenity_cable_tv, amenity_internet, amenity_wifi, amenity_air_conditioning, amenity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[amenity_tv, amenity_wifi, amenity_kitchen, amenity_paid_parking_off_premises, amenity_elevator,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[amenity_tv, amenity_cable_tv, amenity_internet, amenity_wifi, amenity_kitchen, amenity_free_par...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[amenity_tv, amenity_wifi, amenity_kitchen, amenity_free_parking_on_premises, amenity_elevator, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                groups\n",
       "0  [amenity_tv, amenity_cable_tv, amenity_wifi, amenity_kitchen, amenity_paid_parking_off_premises,...\n",
       "1  [amenity_tv, amenity_cable_tv, amenity_internet, amenity_wifi, amenity_air_conditioning, amenity...\n",
       "2  [amenity_tv, amenity_wifi, amenity_kitchen, amenity_paid_parking_off_premises, amenity_elevator,...\n",
       "3  [amenity_tv, amenity_cable_tv, amenity_internet, amenity_wifi, amenity_kitchen, amenity_free_par...\n",
       "4  [amenity_tv, amenity_wifi, amenity_kitchen, amenity_free_parking_on_premises, amenity_elevator, ..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MultiLabelBinarizer\n",
    "\n",
    "df_list_of_amenities = pd.DataFrame(\n",
    "    {'groups': final_amenities\n",
    "    }, columns=['groups'])\n",
    "df_list_of_amenities.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_list_of_amenities = pd.DataFrame(\n",
    "    {'groups': final_amenities\n",
    "    }, columns=['groups'])\n",
    "s = df_list_of_amenities['groups']\n",
    "mlb = MultiLabelBinarizer()\n",
    "df_amenities = pd.DataFrame(mlb.fit_transform(s), columns=mlb.classes_, index=df.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amenity_24-hour_check-in</th>\n",
       "      <th>amenity__toilet</th>\n",
       "      <th>amenity_accessible-height_bed</th>\n",
       "      <th>amenity_accessible-height_toilet</th>\n",
       "      <th>amenity_air_conditioning</th>\n",
       "      <th>amenity_air_purifier</th>\n",
       "      <th>amenity_alfresco_bathtub</th>\n",
       "      <th>amenity_amazon_echo</th>\n",
       "      <th>amenity_baby_bath</th>\n",
       "      <th>amenity_baby_monitor</th>\n",
       "      <th>amenity_babysitter_recommendations</th>\n",
       "      <th>amenity_balcony</th>\n",
       "      <th>amenity_bath_towel</th>\n",
       "      <th>amenity_bathroom_essentials</th>\n",
       "      <th>amenity_bathtub</th>\n",
       "      <th>amenity_bathtub_with_bath_chair</th>\n",
       "      <th>amenity_bbq_grill</th>\n",
       "      <th>amenity_beach_essentials</th>\n",
       "      <th>amenity_beach_view</th>\n",
       "      <th>amenity_beachfront</th>\n",
       "      <th>amenity_bed_linens</th>\n",
       "      <th>amenity_bedroom_comforts</th>\n",
       "      <th>amenity_bidet</th>\n",
       "      <th>amenity_body_soap</th>\n",
       "      <th>amenity_breakfast</th>\n",
       "      <th>amenity_breakfast_table</th>\n",
       "      <th>amenity_building_staff</th>\n",
       "      <th>amenity_buzzer_wireless_intercom</th>\n",
       "      <th>amenity_cable_tv</th>\n",
       "      <th>amenity_carbon_monoxide_detector</th>\n",
       "      <th>amenity_cat</th>\n",
       "      <th>amenity_ceiling_fan</th>\n",
       "      <th>amenity_ceiling_hoist</th>\n",
       "      <th>amenity_central_air_conditioning</th>\n",
       "      <th>amenity_changing_table</th>\n",
       "      <th>amenity_children’s_books_and_toys</th>\n",
       "      <th>amenity_children’s_dinnerware</th>\n",
       "      <th>amenity_cleaning_before_checkout</th>\n",
       "      <th>amenity_coffee_maker</th>\n",
       "      <th>amenity_convection_oven</th>\n",
       "      <th>amenity_cooking_basics</th>\n",
       "      <th>amenity_crib</th>\n",
       "      <th>amenity_day_bed</th>\n",
       "      <th>amenity_disabled_parking_spot</th>\n",
       "      <th>amenity_dishes_and_silverware</th>\n",
       "      <th>amenity_dishwasher</th>\n",
       "      <th>amenity_dog</th>\n",
       "      <th>amenity_doorman</th>\n",
       "      <th>amenity_double_oven</th>\n",
       "      <th>amenity_dryer</th>\n",
       "      <th>...</th>\n",
       "      <th>amenity_projector_and_screen</th>\n",
       "      <th>amenity_rain_shower</th>\n",
       "      <th>amenity_refrigerator</th>\n",
       "      <th>amenity_roll-in_shower</th>\n",
       "      <th>amenity_room-darkening_shades</th>\n",
       "      <th>amenity_safety_card</th>\n",
       "      <th>amenity_sauna</th>\n",
       "      <th>amenity_self_check-in</th>\n",
       "      <th>amenity_shampoo</th>\n",
       "      <th>amenity_shared_gym</th>\n",
       "      <th>amenity_shared_hot_tub</th>\n",
       "      <th>amenity_shared_pool</th>\n",
       "      <th>amenity_shower_chair</th>\n",
       "      <th>amenity_single_level_home</th>\n",
       "      <th>amenity_ski-in_ski-out</th>\n",
       "      <th>amenity_smart_lock</th>\n",
       "      <th>amenity_smart_tv</th>\n",
       "      <th>amenity_smoke_detector</th>\n",
       "      <th>amenity_smoking_allowed</th>\n",
       "      <th>amenity_soaking_tub</th>\n",
       "      <th>amenity_sound_system</th>\n",
       "      <th>amenity_stair_gates</th>\n",
       "      <th>amenity_stand_alone_steam_shower</th>\n",
       "      <th>amenity_standing_valet</th>\n",
       "      <th>amenity_steam_oven</th>\n",
       "      <th>amenity_step-free_access</th>\n",
       "      <th>amenity_stove</th>\n",
       "      <th>amenity_suitable_for_events</th>\n",
       "      <th>amenity_sun_loungers</th>\n",
       "      <th>amenity_table_corner_guards</th>\n",
       "      <th>amenity_tennis_court</th>\n",
       "      <th>amenity_terrace</th>\n",
       "      <th>amenity_toilet_paper</th>\n",
       "      <th>amenity_touchless_faucets</th>\n",
       "      <th>amenity_tv</th>\n",
       "      <th>amenity_walk-in_shower</th>\n",
       "      <th>amenity_warming_drawer</th>\n",
       "      <th>amenity_washer</th>\n",
       "      <th>amenity_washer_dryer</th>\n",
       "      <th>amenity_waterfront</th>\n",
       "      <th>amenity_well-lit_path_to_entrance</th>\n",
       "      <th>amenity_wheelchair_accessible</th>\n",
       "      <th>amenity_wide_clearance_to_bed</th>\n",
       "      <th>amenity_wide_clearance_to_shower</th>\n",
       "      <th>amenity_wide_doorway</th>\n",
       "      <th>amenity_wide_entryway</th>\n",
       "      <th>amenity_wide_hallway_clearance</th>\n",
       "      <th>amenity_wifi</th>\n",
       "      <th>amenity_window_guards</th>\n",
       "      <th>amenity_wine_cooler</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 192 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   amenity_24-hour_check-in  amenity__toilet  amenity_accessible-height_bed  \\\n",
       "0                         0                0                              1   \n",
       "1                         1                0                              0   \n",
       "2                         0                0                              0   \n",
       "3                         1                0                              0   \n",
       "4                         0                0                              0   \n",
       "\n",
       "   amenity_accessible-height_toilet  amenity_air_conditioning  \\\n",
       "0                                 1                         0   \n",
       "1                                 0                         1   \n",
       "2                                 0                         0   \n",
       "3                                 0                         0   \n",
       "4                                 0                         0   \n",
       "\n",
       "   amenity_air_purifier  amenity_alfresco_bathtub  amenity_amazon_echo  \\\n",
       "0                     0                         0                    0   \n",
       "1                     0                         0                    0   \n",
       "2                     0                         0                    0   \n",
       "3                     0                         0                    0   \n",
       "4                     0                         0                    0   \n",
       "\n",
       "   amenity_baby_bath  amenity_baby_monitor  \\\n",
       "0                  0                     0   \n",
       "1                  0                     0   \n",
       "2                  0                     0   \n",
       "3                  0                     0   \n",
       "4                  0                     0   \n",
       "\n",
       "   amenity_babysitter_recommendations  amenity_balcony  amenity_bath_towel  \\\n",
       "0                                   1                0                   0   \n",
       "1                                   0                0                   0   \n",
       "2                                   0                0                   0   \n",
       "3                                   0                0                   0   \n",
       "4                                   0                0                   0   \n",
       "\n",
       "   amenity_bathroom_essentials  amenity_bathtub  \\\n",
       "0                            0                1   \n",
       "1                            0                0   \n",
       "2                            0                0   \n",
       "3                            0                0   \n",
       "4                            0                0   \n",
       "\n",
       "   amenity_bathtub_with_bath_chair  amenity_bbq_grill  \\\n",
       "0                                1                  0   \n",
       "1                                0                  0   \n",
       "2                                0                  0   \n",
       "3                                0                  0   \n",
       "4                                0                  0   \n",
       "\n",
       "   amenity_beach_essentials  amenity_beach_view  amenity_beachfront  \\\n",
       "0                         0                   0                   0   \n",
       "1                         0                   0                   0   \n",
       "2                         0                   0                   0   \n",
       "3                         0                   0                   0   \n",
       "4                         0                   0                   0   \n",
       "\n",
       "   amenity_bed_linens  amenity_bedroom_comforts  amenity_bidet  \\\n",
       "0                   1                         0              0   \n",
       "1                   0                         0              0   \n",
       "2                   1                         0              0   \n",
       "3                   0                         0              0   \n",
       "4                   0                         0              0   \n",
       "\n",
       "   amenity_body_soap  amenity_breakfast  amenity_breakfast_table  \\\n",
       "0                  0                  0                        0   \n",
       "1                  0                  0                        0   \n",
       "2                  0                  0                        0   \n",
       "3                  0                  0                        0   \n",
       "4                  0                  0                        0   \n",
       "\n",
       "   amenity_building_staff  amenity_buzzer_wireless_intercom  amenity_cable_tv  \\\n",
       "0                       0                                 1                 1   \n",
       "1                       0                                 1                 1   \n",
       "2                       0                                 1                 0   \n",
       "3                       0                                 0                 1   \n",
       "4                       0                                 1                 0   \n",
       "\n",
       "   amenity_carbon_monoxide_detector  amenity_cat  amenity_ceiling_fan  \\\n",
       "0                                 1            0                    0   \n",
       "1                                 0            0                    0   \n",
       "2                                 0            0                    0   \n",
       "3                                 1            0                    0   \n",
       "4                                 1            0                    0   \n",
       "\n",
       "   amenity_ceiling_hoist  amenity_central_air_conditioning  \\\n",
       "0                      0                                 0   \n",
       "1                      0                                 0   \n",
       "2                      0                                 0   \n",
       "3                      0                                 0   \n",
       "4                      0                                 0   \n",
       "\n",
       "   amenity_changing_table  amenity_children’s_books_and_toys  \\\n",
       "0                       0                                  1   \n",
       "1                       0                                  0   \n",
       "2                       0                                  0   \n",
       "3                       0                                  0   \n",
       "4                       0                                  0   \n",
       "\n",
       "   amenity_children’s_dinnerware  amenity_cleaning_before_checkout  \\\n",
       "0                              1                                 0   \n",
       "1                              0                                 0   \n",
       "2                              0                                 0   \n",
       "3                              0                                 0   \n",
       "4                              0                                 0   \n",
       "\n",
       "   amenity_coffee_maker  amenity_convection_oven  amenity_cooking_basics  \\\n",
       "0                     1                        0                       1   \n",
       "1                     0                        0                       0   \n",
       "2                     1                        0                       1   \n",
       "3                     0                        0                       0   \n",
       "4                     0                        0                       0   \n",
       "\n",
       "   amenity_crib  amenity_day_bed  amenity_disabled_parking_spot  \\\n",
       "0             1                0                              0   \n",
       "1             0                0                              0   \n",
       "2             0                0                              0   \n",
       "3             0                0                              0   \n",
       "4             0                0                              0   \n",
       "\n",
       "   amenity_dishes_and_silverware  amenity_dishwasher  amenity_dog  \\\n",
       "0                              1                   0            0   \n",
       "1                              0                   0            0   \n",
       "2                              1                   1            0   \n",
       "3                              0                   0            0   \n",
       "4                              0                   0            0   \n",
       "\n",
       "   amenity_doorman  amenity_double_oven  amenity_dryer  ...  \\\n",
       "0                0                    0              1  ...   \n",
       "1                0                    0              1  ...   \n",
       "2                0                    0              1  ...   \n",
       "3                0                    0              1  ...   \n",
       "4                0                    0              0  ...   \n",
       "\n",
       "   amenity_projector_and_screen  amenity_rain_shower  amenity_refrigerator  \\\n",
       "0                             0                    0                     1   \n",
       "1                             0                    0                     0   \n",
       "2                             0                    0                     1   \n",
       "3                             0                    0                     0   \n",
       "4                             0                    0                     0   \n",
       "\n",
       "   amenity_roll-in_shower  amenity_room-darkening_shades  amenity_safety_card  \\\n",
       "0                       1                              1                    0   \n",
       "1                       0                              0                    0   \n",
       "2                       0                              0                    0   \n",
       "3                       0                              0                    0   \n",
       "4                       0                              0                    0   \n",
       "\n",
       "   amenity_sauna  amenity_self_check-in  amenity_shampoo  amenity_shared_gym  \\\n",
       "0              0                      0                1                   0   \n",
       "1              0                      0                1                   0   \n",
       "2              0                      0                1                   0   \n",
       "3              0                      1                1                   0   \n",
       "4              0                      0                0                   0   \n",
       "\n",
       "   amenity_shared_hot_tub  amenity_shared_pool  amenity_shower_chair  \\\n",
       "0                       0                    0                     0   \n",
       "1                       0                    0                     0   \n",
       "2                       0                    0                     0   \n",
       "3                       0                    0                     0   \n",
       "4                       0                    0                     0   \n",
       "\n",
       "   amenity_single_level_home  amenity_ski-in_ski-out  amenity_smart_lock  \\\n",
       "0                          0                       0                   0   \n",
       "1                          0                       0                   0   \n",
       "2                          0                       0                   0   \n",
       "3                          0                       0                   0   \n",
       "4                          0                       0                   0   \n",
       "\n",
       "   amenity_smart_tv  amenity_smoke_detector  amenity_smoking_allowed  \\\n",
       "0                 0                       1                        1   \n",
       "1                 0                       1                        0   \n",
       "2                 0                       1                        0   \n",
       "3                 0                       1                        0   \n",
       "4                 0                       1                        0   \n",
       "\n",
       "   amenity_soaking_tub  amenity_sound_system  amenity_stair_gates  \\\n",
       "0                    0                     0                    0   \n",
       "1                    0                     0                    0   \n",
       "2                    0                     0                    0   \n",
       "3                    0                     0                    0   \n",
       "4                    0                     0                    0   \n",
       "\n",
       "   amenity_stand_alone_steam_shower  amenity_standing_valet  \\\n",
       "0                                 0                       0   \n",
       "1                                 0                       0   \n",
       "2                                 0                       0   \n",
       "3                                 0                       0   \n",
       "4                                 0                       0   \n",
       "\n",
       "   amenity_steam_oven  amenity_step-free_access  amenity_stove  \\\n",
       "0                   0                         1              1   \n",
       "1                   0                         0              0   \n",
       "2                   0                         0              1   \n",
       "3                   0                         0              0   \n",
       "4                   0                         0              0   \n",
       "\n",
       "   amenity_suitable_for_events  amenity_sun_loungers  \\\n",
       "0                            0                     0   \n",
       "1                            0                     0   \n",
       "2                            0                     0   \n",
       "3                            0                     0   \n",
       "4                            0                     0   \n",
       "\n",
       "   amenity_table_corner_guards  amenity_tennis_court  amenity_terrace  \\\n",
       "0                            0                     0                0   \n",
       "1                            0                     0                0   \n",
       "2                            0                     0                0   \n",
       "3                            0                     0                0   \n",
       "4                            0                     0                0   \n",
       "\n",
       "   amenity_toilet_paper  amenity_touchless_faucets  amenity_tv  \\\n",
       "0                     0                          0           1   \n",
       "1                     0                          0           1   \n",
       "2                     0                          0           1   \n",
       "3                     0                          0           1   \n",
       "4                     0                          0           1   \n",
       "\n",
       "   amenity_walk-in_shower  amenity_warming_drawer  amenity_washer  \\\n",
       "0                       0                       0               1   \n",
       "1                       0                       0               1   \n",
       "2                       0                       0               1   \n",
       "3                       0                       0               1   \n",
       "4                       0                       0               1   \n",
       "\n",
       "   amenity_washer_dryer  amenity_waterfront  \\\n",
       "0                     0                   0   \n",
       "1                     0                   0   \n",
       "2                     0                   0   \n",
       "3                     0                   0   \n",
       "4                     0                   0   \n",
       "\n",
       "   amenity_well-lit_path_to_entrance  amenity_wheelchair_accessible  \\\n",
       "0                                  0                              0   \n",
       "1                                  0                              0   \n",
       "2                                  0                              0   \n",
       "3                                  0                              0   \n",
       "4                                  0                              0   \n",
       "\n",
       "   amenity_wide_clearance_to_bed  amenity_wide_clearance_to_shower  \\\n",
       "0                              1                                 0   \n",
       "1                              0                                 0   \n",
       "2                              0                                 0   \n",
       "3                              0                                 0   \n",
       "4                              0                                 0   \n",
       "\n",
       "   amenity_wide_doorway  amenity_wide_entryway  \\\n",
       "0                     1                      0   \n",
       "1                     0                      0   \n",
       "2                     0                      0   \n",
       "3                     0                      0   \n",
       "4                     0                      0   \n",
       "\n",
       "   amenity_wide_hallway_clearance  amenity_wifi  amenity_window_guards  \\\n",
       "0                               0             1                      0   \n",
       "1                               0             1                      0   \n",
       "2                               0             1                      0   \n",
       "3                               0             1                      0   \n",
       "4                               0             1                      0   \n",
       "\n",
       "   amenity_wine_cooler  \n",
       "0                    0  \n",
       "1                    0  \n",
       "2                    0  \n",
       "3                    0  \n",
       "4                    0  \n",
       "\n",
       "[5 rows x 192 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_amenities.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(58567, 225)\n"
     ]
    }
   ],
   "source": [
    "df.drop('amenities', axis=1, inplace=True)\n",
    "df = pd.concat([df, df_amenities], axis=1)\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>host_id</th>\n",
       "      <th>description</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>is_location_exact</th>\n",
       "      <th>property_type</th>\n",
       "      <th>room_type</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>price</th>\n",
       "      <th>security_deposit</th>\n",
       "      <th>cleaning_fee</th>\n",
       "      <th>guests_included</th>\n",
       "      <th>extra_people</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>cancellation_policy</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>has_house_rules</th>\n",
       "      <th>host_gender</th>\n",
       "      <th>accommodates_catg</th>\n",
       "      <th>guests_included_catg</th>\n",
       "      <th>minimum_nights_catg</th>\n",
       "      <th>host_listings_count_catg</th>\n",
       "      <th>bathrooms_catg</th>\n",
       "      <th>bedrooms_catg</th>\n",
       "      <th>beds_catg</th>\n",
       "      <th>amenity_24-hour_check-in</th>\n",
       "      <th>amenity__toilet</th>\n",
       "      <th>amenity_accessible-height_bed</th>\n",
       "      <th>amenity_accessible-height_toilet</th>\n",
       "      <th>amenity_air_conditioning</th>\n",
       "      <th>amenity_air_purifier</th>\n",
       "      <th>amenity_alfresco_bathtub</th>\n",
       "      <th>amenity_amazon_echo</th>\n",
       "      <th>amenity_baby_bath</th>\n",
       "      <th>amenity_baby_monitor</th>\n",
       "      <th>amenity_babysitter_recommendations</th>\n",
       "      <th>amenity_balcony</th>\n",
       "      <th>amenity_bath_towel</th>\n",
       "      <th>amenity_bathroom_essentials</th>\n",
       "      <th>amenity_bathtub</th>\n",
       "      <th>amenity_bathtub_with_bath_chair</th>\n",
       "      <th>amenity_bbq_grill</th>\n",
       "      <th>...</th>\n",
       "      <th>amenity_projector_and_screen</th>\n",
       "      <th>amenity_rain_shower</th>\n",
       "      <th>amenity_refrigerator</th>\n",
       "      <th>amenity_roll-in_shower</th>\n",
       "      <th>amenity_room-darkening_shades</th>\n",
       "      <th>amenity_safety_card</th>\n",
       "      <th>amenity_sauna</th>\n",
       "      <th>amenity_self_check-in</th>\n",
       "      <th>amenity_shampoo</th>\n",
       "      <th>amenity_shared_gym</th>\n",
       "      <th>amenity_shared_hot_tub</th>\n",
       "      <th>amenity_shared_pool</th>\n",
       "      <th>amenity_shower_chair</th>\n",
       "      <th>amenity_single_level_home</th>\n",
       "      <th>amenity_ski-in_ski-out</th>\n",
       "      <th>amenity_smart_lock</th>\n",
       "      <th>amenity_smart_tv</th>\n",
       "      <th>amenity_smoke_detector</th>\n",
       "      <th>amenity_smoking_allowed</th>\n",
       "      <th>amenity_soaking_tub</th>\n",
       "      <th>amenity_sound_system</th>\n",
       "      <th>amenity_stair_gates</th>\n",
       "      <th>amenity_stand_alone_steam_shower</th>\n",
       "      <th>amenity_standing_valet</th>\n",
       "      <th>amenity_steam_oven</th>\n",
       "      <th>amenity_step-free_access</th>\n",
       "      <th>amenity_stove</th>\n",
       "      <th>amenity_suitable_for_events</th>\n",
       "      <th>amenity_sun_loungers</th>\n",
       "      <th>amenity_table_corner_guards</th>\n",
       "      <th>amenity_tennis_court</th>\n",
       "      <th>amenity_terrace</th>\n",
       "      <th>amenity_toilet_paper</th>\n",
       "      <th>amenity_touchless_faucets</th>\n",
       "      <th>amenity_tv</th>\n",
       "      <th>amenity_walk-in_shower</th>\n",
       "      <th>amenity_warming_drawer</th>\n",
       "      <th>amenity_washer</th>\n",
       "      <th>amenity_washer_dryer</th>\n",
       "      <th>amenity_waterfront</th>\n",
       "      <th>amenity_well-lit_path_to_entrance</th>\n",
       "      <th>amenity_wheelchair_accessible</th>\n",
       "      <th>amenity_wide_clearance_to_bed</th>\n",
       "      <th>amenity_wide_clearance_to_shower</th>\n",
       "      <th>amenity_wide_doorway</th>\n",
       "      <th>amenity_wide_entryway</th>\n",
       "      <th>amenity_wide_hallway_clearance</th>\n",
       "      <th>amenity_wifi</th>\n",
       "      <th>amenity_window_guards</th>\n",
       "      <th>amenity_wine_cooler</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13913</td>\n",
       "      <td>54730</td>\n",
       "      <td>My bright double bedroom with a large window has a relaxed feeling! It comfortably fits one or t...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>f</td>\n",
       "      <td>Islington</td>\n",
       "      <td>51.56802</td>\n",
       "      <td>-0.11121</td>\n",
       "      <td>t</td>\n",
       "      <td>apartment</td>\n",
       "      <td>private_room</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>$65.00</td>\n",
       "      <td>$100.00</td>\n",
       "      <td>$15.00</td>\n",
       "      <td>1</td>\n",
       "      <td>$15.00</td>\n",
       "      <td>1</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15400</td>\n",
       "      <td>60302</td>\n",
       "      <td>Lots of windows and light.  St Luke's Gardens are at the end of the block, and the river not too...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>t</td>\n",
       "      <td>Kensington and Chelsea</td>\n",
       "      <td>51.48796</td>\n",
       "      <td>-0.16898</td>\n",
       "      <td>t</td>\n",
       "      <td>apartment</td>\n",
       "      <td>entire_home/apt</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>$100.00</td>\n",
       "      <td>$150.00</td>\n",
       "      <td>$50.00</td>\n",
       "      <td>2</td>\n",
       "      <td>$0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>f</td>\n",
       "      <td>strict_14_with_grace_period</td>\n",
       "      <td>0.72</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 225 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  host_id  \\\n",
       "0  13913    54730   \n",
       "1  15400    60302   \n",
       "\n",
       "                                                                                           description  \\\n",
       "0  My bright double bedroom with a large window has a relaxed feeling! It comfortably fits one or t...   \n",
       "1  Lots of windows and light.  St Luke's Gardens are at the end of the block, and the river not too...   \n",
       "\n",
       "   host_listings_count host_identity_verified  neighbourhood_cleansed  \\\n",
       "0                  4.0                      f               Islington   \n",
       "1                  1.0                      t  Kensington and Chelsea   \n",
       "\n",
       "   latitude  longitude is_location_exact property_type        room_type  \\\n",
       "0  51.56802   -0.11121                 t     apartment     private_room   \n",
       "1  51.48796   -0.16898                 t     apartment  entire_home/apt   \n",
       "\n",
       "   accommodates  bathrooms  bedrooms  beds    price security_deposit  \\\n",
       "0             2        1.0       1.0   0.0   $65.00          $100.00   \n",
       "1             2        1.0       1.0   1.0  $100.00          $150.00   \n",
       "\n",
       "  cleaning_fee  guests_included extra_people  minimum_nights instant_bookable  \\\n",
       "0       $15.00                1       $15.00               1                f   \n",
       "1       $50.00                2        $0.00               3                f   \n",
       "\n",
       "           cancellation_policy  reviews_per_month has_house_rules host_gender  \\\n",
       "0                     moderate               0.13               1      female   \n",
       "1  strict_14_with_grace_period               0.72               1      female   \n",
       "\n",
       "   accommodates_catg  guests_included_catg  minimum_nights_catg  \\\n",
       "0                  2                     1                    1   \n",
       "1                  2                     2                    3   \n",
       "\n",
       "   host_listings_count_catg  bathrooms_catg  bedrooms_catg  beds_catg  \\\n",
       "0                         3               1              1          0   \n",
       "1                         1               1              1          1   \n",
       "\n",
       "   amenity_24-hour_check-in  amenity__toilet  amenity_accessible-height_bed  \\\n",
       "0                         0                0                              1   \n",
       "1                         1                0                              0   \n",
       "\n",
       "   amenity_accessible-height_toilet  amenity_air_conditioning  \\\n",
       "0                                 1                         0   \n",
       "1                                 0                         1   \n",
       "\n",
       "   amenity_air_purifier  amenity_alfresco_bathtub  amenity_amazon_echo  \\\n",
       "0                     0                         0                    0   \n",
       "1                     0                         0                    0   \n",
       "\n",
       "   amenity_baby_bath  amenity_baby_monitor  \\\n",
       "0                  0                     0   \n",
       "1                  0                     0   \n",
       "\n",
       "   amenity_babysitter_recommendations  amenity_balcony  amenity_bath_towel  \\\n",
       "0                                   1                0                   0   \n",
       "1                                   0                0                   0   \n",
       "\n",
       "   amenity_bathroom_essentials  amenity_bathtub  \\\n",
       "0                            0                1   \n",
       "1                            0                0   \n",
       "\n",
       "   amenity_bathtub_with_bath_chair  amenity_bbq_grill  ...  \\\n",
       "0                                1                  0  ...   \n",
       "1                                0                  0  ...   \n",
       "\n",
       "   amenity_projector_and_screen  amenity_rain_shower  amenity_refrigerator  \\\n",
       "0                             0                    0                     1   \n",
       "1                             0                    0                     0   \n",
       "\n",
       "   amenity_roll-in_shower  amenity_room-darkening_shades  amenity_safety_card  \\\n",
       "0                       1                              1                    0   \n",
       "1                       0                              0                    0   \n",
       "\n",
       "   amenity_sauna  amenity_self_check-in  amenity_shampoo  amenity_shared_gym  \\\n",
       "0              0                      0                1                   0   \n",
       "1              0                      0                1                   0   \n",
       "\n",
       "   amenity_shared_hot_tub  amenity_shared_pool  amenity_shower_chair  \\\n",
       "0                       0                    0                     0   \n",
       "1                       0                    0                     0   \n",
       "\n",
       "   amenity_single_level_home  amenity_ski-in_ski-out  amenity_smart_lock  \\\n",
       "0                          0                       0                   0   \n",
       "1                          0                       0                   0   \n",
       "\n",
       "   amenity_smart_tv  amenity_smoke_detector  amenity_smoking_allowed  \\\n",
       "0                 0                       1                        1   \n",
       "1                 0                       1                        0   \n",
       "\n",
       "   amenity_soaking_tub  amenity_sound_system  amenity_stair_gates  \\\n",
       "0                    0                     0                    0   \n",
       "1                    0                     0                    0   \n",
       "\n",
       "   amenity_stand_alone_steam_shower  amenity_standing_valet  \\\n",
       "0                                 0                       0   \n",
       "1                                 0                       0   \n",
       "\n",
       "   amenity_steam_oven  amenity_step-free_access  amenity_stove  \\\n",
       "0                   0                         1              1   \n",
       "1                   0                         0              0   \n",
       "\n",
       "   amenity_suitable_for_events  amenity_sun_loungers  \\\n",
       "0                            0                     0   \n",
       "1                            0                     0   \n",
       "\n",
       "   amenity_table_corner_guards  amenity_tennis_court  amenity_terrace  \\\n",
       "0                            0                     0                0   \n",
       "1                            0                     0                0   \n",
       "\n",
       "   amenity_toilet_paper  amenity_touchless_faucets  amenity_tv  \\\n",
       "0                     0                          0           1   \n",
       "1                     0                          0           1   \n",
       "\n",
       "   amenity_walk-in_shower  amenity_warming_drawer  amenity_washer  \\\n",
       "0                       0                       0               1   \n",
       "1                       0                       0               1   \n",
       "\n",
       "   amenity_washer_dryer  amenity_waterfront  \\\n",
       "0                     0                   0   \n",
       "1                     0                   0   \n",
       "\n",
       "   amenity_well-lit_path_to_entrance  amenity_wheelchair_accessible  \\\n",
       "0                                  0                              0   \n",
       "1                                  0                              0   \n",
       "\n",
       "   amenity_wide_clearance_to_bed  amenity_wide_clearance_to_shower  \\\n",
       "0                              1                                 0   \n",
       "1                              0                                 0   \n",
       "\n",
       "   amenity_wide_doorway  amenity_wide_entryway  \\\n",
       "0                     1                      0   \n",
       "1                     0                      0   \n",
       "\n",
       "   amenity_wide_hallway_clearance  amenity_wifi  amenity_window_guards  \\\n",
       "0                               0             1                      0   \n",
       "1                               0             1                      0   \n",
       "\n",
       "   amenity_wine_cooler  \n",
       "0                    0  \n",
       "1                    0  \n",
       "\n",
       "[2 rows x 225 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Price, security_deposit, cleaning_fee, extra_people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "money_columns = ['price', 'security_deposit', 'cleaning_fee', 'extra_people']\n",
    "tmp_money_df = df[money_columns].fillna('$0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "money_columns = ['price', 'security_deposit', 'cleaning_fee', 'extra_people']\n",
    "tmp_money_df = df[money_columns].fillna('$0')\n",
    "\n",
    "money_repls = ((\"$\", \"\"), (\",\", \"\"))\n",
    "for col in money_columns:\n",
    "    val_str = tmp_money_df[col].tolist()\n",
    "    val_num = [float(st) for st in [reduce(lambda a, kv: a.replace(*kv), money_repls, s) for s in val_str]]\n",
    "    tmp_money_df[col] = val_num"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set(color_codes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f321f9aa828>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(tmp_money_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "properties with very high price: 123\n",
      "properties with very high security deposit: 230\n",
      "properties with very high cleaning fee: 332\n",
      "properties with very high extra people cost: 199\n"
     ]
    }
   ],
   "source": [
    "high_price, high_deposit, high_cleaning_fee, high_extra_people = 1000,2000,200,100\n",
    "\n",
    "high_price_count = (tmp_money_df.price >= high_price).sum()\n",
    "high_deposit_count = (tmp_money_df.security_deposit >= high_deposit).sum()\n",
    "high_cleaning_fee_count = (tmp_money_df.cleaning_fee >= high_cleaning_fee).sum()\n",
    "high_extra_people_count = (tmp_money_df.extra_people >= high_extra_people).sum()\n",
    "\n",
    "print('properties with very high price: {}'.format(high_price_count))\n",
    "print('properties with very high security deposit: {}'.format(high_deposit_count))\n",
    "print('properties with very high cleaning fee: {}'.format(high_cleaning_fee_count))\n",
    "print('properties with very high extra people cost: {}'.format(high_extra_people_count))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f31fc283ba8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(tmp_money_df[(tmp_money_df.price<high_price) & \n",
    "                          (tmp_money_df.security_deposit<high_deposit) & \n",
    "                          (tmp_money_df.cleaning_fee<high_cleaning_fee) & \n",
    "                          (tmp_money_df.extra_people<high_extra_people)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is no apparent correlation between price and \"security deposit\" or \"extra people\", good, moving on..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(57739, 225)\n"
     ]
    }
   ],
   "source": [
    "# We will now just concat and we will drop high values later one\n",
    "df.drop(money_columns, axis=1, inplace=True)\n",
    "df = pd.concat([df, tmp_money_df], axis=1)\n",
    "df = df[(df.price<high_price) &\n",
    "        (df.price!=0) &\n",
    "        (df.security_deposit<high_deposit) &\n",
    "        (df.cleaning_fee<high_cleaning_fee) &\n",
    "        (df.extra_people<high_extra_people)]\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no NaN, all OK\n"
     ]
    }
   ],
   "source": [
    "# let's make sure there are no nan left\n",
    "has_nan = df.isnull().any(axis=0)\n",
    "has_nan = [df.columns[i] for i in np.where(has_nan)[0]]\n",
    "if not has_nan: print('no NaN, all OK')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Computing a *\"proxi\"* for yield\n",
    "\n",
    "Yield is defined as:\n",
    "\n",
    "$$\n",
    "yield = price * occupancy \\: rate\n",
    "$$\n",
    "\n",
    "Occupancy rate can be calculated as:\n",
    "\n",
    "$$\n",
    "occupancy \\: rate = (reviews\\: / review \\: rate) * average\\: length\\: of\\: stay\n",
    "$$\n",
    "\n",
    "*review rate* and *average length of stay* are normally taken as a constant based in some model. For example, in the [San Francisco](http://insideairbnb.com/about.html) model a review rate of 0.5 is used to convert reviews to estimated bookings (i.e. we assume that only half of the guests will leave a review). An average length of stay of 3 nights  multiplied by the estimated bookings over a period gives the occupancy rate. Therefore, in the expression I have used below, if you want to turn my implementation of 'yield' into a \"proper\" one under the San Francisco model assumptions simply multiply my yield by 6 (3 $\\times$ (1/0.5)) or by 72 (3 $\\times$ 2 $\\times$ 12) if you prefer per year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['yield'] = (df['price']+df['cleaning_fee']) * (df['reviews_per_month'])\n",
    "df.drop(['price','cleaning_fee','reviews_per_month'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f321f633dd8>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df['yield'], bins=40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "612.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.percentile(df['yield'], 97)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f31f42a0f28>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df[df['yield']<=600]['yield'], bins=40)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
